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Developing an Introductory Course in:
Model-Based Systems Engineering (MBSE) with the
Systems Modeling Language (SysML)
Joe Wolfrom
October 29, 2009
slide 2
Outline
Purpose of the Presentation MBSE/SysML Course Challenge Course Background Information Context Purpose Demographics Text and Software Used Coverage Course Schedule Typical Class Structure Hands-on Projects Development Details
Summary and Take-aways What’s Next
slide 3
Purpose of the Presentation
Discuss experiences developing and teaching a course in MBSE with SysML Discuss challenge of teaching a course in MBSE with SysML Discuss course background information Discuss techniques employed to enhance student learning
slide 4
MBSE/SysML Course Challenge
Develop an in-house course in MBSE with SysML Goal: Teach concepts as well as practical application Develop an effective alternative to the ‘all-day’ seminar
Fire-hose effect - too much info to absorb in a short period of time Good for overviews but not enough hands-on learning
Bottom-line Provide students with training needed to apply SysML concepts and the
use of a modeling tool to their current projects
slide 5
Course Background Information
slide 6
Course Background Information - Context MBSE MBSE is the formalized application of modeling to support systems
requirements, design, analysis, verification, and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases. [INCOSE, Systems Engineering Vision 2020, Version 2.03, Sept 2007]
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Course Background Information - Context SysML SysML is a general purpose graphical modeling language that supports
the analysis, specification, design, verification, and validation of complex systems. [Friedenthal, Moore, and Steiner, A Practical Guide to SysML, p. 29]
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Course Background Information - Purpose Teach MBSE, SysML concepts, and tool use to JHU/APL technical
staff members Introduce Model Based Systems Engineering Introduce and teach SysML concepts and techniques Demonstrate and teach use of modeling tool to produce SysML artifacts
Motivation Increased awareness and use of MBSE and SysML Application of concepts to projects Increase staff awareness and comfort level with tool usage
Course Objectives Learn the basics of MBSE and SysML Learn the basics of a SysML-based Tool Practice application of basics to develop system models
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Course Background Information - Demographics Student Information 18 Students (15 local, 3 remote) Systems Engineering background No prior MBSE knowledge required or assumed No prior SysML or UML knowledge required or assumed No prior SysML-based tool use required or assumed
Strategic Education Program (SEP) courses at JHU/APL Courses for JHU/APL technical staff – taught by JHU/APL staff Non-credit Pass/Fail
slide 10
Course Background Information - Text and Software Used Course Text “A Practical Guide to SysML: The Systems Modeling Language”;
Friedenthal, Moore and Steiner; 2008; Elsevier, Inc. Course Software Sparx Systems “Enterprise Architect” (EA) Ultimate Edition version 7.5
(with SysML) Academic Licenses for instructors and students Instructor experience
Cisco MeetingPlace Remote student participation Recorded sessions (presentations and voice)
Microsoft SharePoint Posting Course Material
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Course Background Information - Coverage Three things required for modeling: Language Tool Methodology
Focus of this course is: Language (SysML) Tool (EA)
Several MBSE Methods available Survey of Model-Based Systems Engineering Methodologies [INCOSE
–TD-2007-003-01, 10 June 2008, Estafan] SysML and EA are methodology-independent SysML concepts and the EA tool can be applied to various MBSE
methodologies Language and Tool study provide the foundation for Methodology study Detailed look at methodologies – good candidate for follow-on course
Language Tool
Methodology
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Course Background Information - Course Schedule
Week Date Hour Topic
1 9/8 1&2 Course Overview, Systems Engineering Overview, Model Based Systems Engineering Overview, and SysML Overview
2 9/15 1&2 Organizing the Model with Packages and EA Basics
3 9/22 1&2 Modeling Requirements and their Relationships
4 9/29 1&2 Motivation for MBSE and SysML
5 10/6 1&2 Modeling Functionality with Use Cases
6 10/13 1&2 Modeling Structure with Blocks(Block Definition Diagrams)
7 10/20 1&2 Modeling Flow-Based Behavior with Activities
8 10/27 1&2 Modeling Event-Based Behavior with State Machines
9 11/3 1&2 Modeling Message-Based Behavior with Interactions
10 11/10 1&2 Modeling Structure with Blocks (Internal Block Diagrams)
11 11/17 1&2 Modeling Constraints with Parametrics
12 11/24 1&2 Modeling Cross-Cutting Relationships with Allocations
slide 13
Course Background Information - Typical Class Structure
1. Homework Review2. Motivation: Why Model <subject> Diagrams ?3. Language: Concepts (from textbook)4. Tool: Using EA to create <subject> Diagrams5. Modeling Example: In-Class Project (automated parking garage gate)6. Homework Assignment
Language Tool Model
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Sample Language Concepts Slide Introduction of
SysML elements and relationships with a graphic example of each
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Sample EA Tool Slide Step by step
instructions using EA screen captures
Simultaneous EA tool display demonstrating steps using EA
Students practice using their own laptops
slide 16
Sample Modeling Example Slide Combining SysML
concepts and tool usage to build a SysML artifact for an in-class ‘real-world’ project system
slide 17
Course Background Information - Hands-on Projects Homework Systems Alarm Clock Radio Coke Machine
Why? Familiarity Relatively simple systems (as compared to examples in text) Compare and contrast student models Practice
Group Homework Projects Students working in teams on homework
slide 18
Course Background Information - Development Details Course Philosophy Need to practice modeling to learn it – course needs to be hands-on Minimalistic approach
Focus of course is on the basics (not complete coverage) Just enough to whet the appetite without being overwhelming
Learn-a-little / Practice-a-little approach Two hour classes / once a week / twelve weeks One chapter of textbook per week
Benefits Immediate practice of learned concepts Allows one week of practice for concepts to ‘sink-in’
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Course Background Information - Development Details Section Development Process Create ‘Reader’s Digest’ version of a chapter from the text
Extract information appropriate for an Introductory class Create or extract graphics to illustrate each concept Create SysML Concepts slides using information from book and
corresponding graphics Create EA Tool slides
Develop step-by-step process for utilizing the SysML concept within the EA Tool
Capture EA screens in order to ‘visualize’ the process Create slides relating process steps to screen captures
Create Modeling Example slides Apply concepts and process steps discussed to a real-world system Create slide(s) capturing model depiction
slide 20
Course Background Information - Development Details Course Material Peer Review All course material was presented at INCOSE OOSEM Working Group
meetings for review and comment INCOSE OOSEM Working Group consists of subject-matter experts
with numerous years of experience in Systems and Software Engineering, MBSE, UML, and SysML Includes textbook co-author (Sandy Friedenthal)
Course material was reviewed incrementally by the Working Group Course Outline Section Development On-going input and feedback through Course Presentations Planned: Contributions to post-course improvements
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Summary and Take-aways
MBSE/SysML courses should include adequate: Visual learning techniques by using graphical examples of language concepts
and graphical depictions of step-by-step tool usage (visual learning) In-class instructor-lead demonstrations of the modeling tool (learning through
demonstrations) In-class hands-on training with a modeling tool (learning by doing) Time between sessions to give students time to learn and practice the concepts
outside of class (incremental learning / “sink-in” time) Homework projects for the students to model to apply the concepts that they
have learned to sample systems (learning through practice) Group homework (collaborative learning) Peer review of course matter with subject-matter experts (course validation and
verification) Remotely accessible and recordable sessions for remote (or absent) students
(remote learning)
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What’s Next
Finish teaching current course (Nov 24th) Course Evaluation Perform Course assessment Implement improvements
Develop ‘Methodology’ Course as a follow-on to this Introductory course
Investigate offering course publicly as an elective in the Johns Hopkins University Engineering for Professionals Master’s Degree program in Systems Engineering
slide 23
Questions